Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
Region:  Ethnic Origin:     Type of study :  Sort by: 
Sample Size:      Sample Year:     Loci Tested: 
Displaying 201 to 300 (from 12,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 201  DRB1*03:01:01-DQA1*05:01-DQB1*02:01  Cameroon Yaounde 6.300092
 202  DRB1*03:01-DQA1*05:01-DQB1*02:01  Greece pop3 6.3000246
 203  A*29-B*44-DRB1*07-DQB1*02  Mexico Quintana Roo, Cancun 6.250048
 204  DQA1*03-DQB1*02  Gambia 6.2000146
 205  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Sunni 6.2000188
 206  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Shia 6.2000190
 207  DRB1*07-DQA1*02:01-DQB1*02  Congo Kinshasa Bantu 6.200090
 208  A*01-B*08-C*07-DRB1*03-DQB1*02  Spain Ibiza 6.100088
 209  A*29-B*44-C*16-DRB1*07-DQB1*02  Spain Ibiza 6.100088
 210  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mongolia Ulaanbaatar Khalkha 6.100041
 211  DRB1*07-DQB1*02  Pakistan Mixed Sindhi 6.1000101
 212  A*03-B*08-DRB1*03:01-DQB1*02  Mexico Baja California, Tijuana 6.000025
 213  DRB1*03:01-DQA1*05:01-DQB1*02:01/06:01  Iran Azeri 6.0000100
 214  DRB1*03:01-DQB1*02:01  Taiwan pop 2 6.0000364
 215  DRB1*07:01-DQB1*02:01-DMB*01:01  Ecuadorean Amerindians 6.000075
 216  DRB1*07:01-DQB1*02:02  Mexico Mexico City Mestizo pop 2 5.9800234
 217  B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Mexico Mexico City Mestizo population 5.9441143
 218  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mongolia Tarialan Khoton 5.900085
 219  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mexico Highlands Mestizos 5.9000160
 220  DRB1*03:01-DQB1*02:01  Georgia Caucasus Tbilisi 5.8824119
 221  DRB1*07:01-DQB1*02:01  Georgia Caucasus Tbilisi 5.8824119
 222  A*01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 5.872923,595
 223  DQA1*05:01-DQB1*02  Gambia 5.8000146
 224  DRB1*03:01:01:01-DQB1*02:01  China Inner Mongolia Autonomous Region Northeast 5.7450496
 225  A*01-B*08-C*07-DRB1*03-DQB1*02  Spain Majorca 5.7000407
 226  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 227  DRB1*03:01-DRB3*01:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  USA San Francisco Caucasian 5.7000220
 228  DRB1*03-DQA1*05:01-DQB1*02:01  Italy pop 2 5.700053
 229  DRB1*07-DQA1*02:01-DQB1*02:01  Belarus Gomel Region 5.7000100
 230  DRB1*03:01:01-DQB1*02  Israel Libyan Jews 5.6000119
 231  DRB1*03:01-DQB1*02:02-DPB1*04:01  Mongolia Ulaanbaatar Khalkha 5.600041
 232  DRB1*09:01-DQA1*03:03-DQB1*02  Congo Kinshasa Bantu 5.600090
 233  DRB1*07:01-DQB1*02:01  USA Asian pop 2 5.51601,772
 234  DRB1*07:01:01-DQB1*02  China Inner Mongolia Region Ewenki 5.500094
 235  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Sassari 5.500091
 236  DRB1*07:01-DQA1*02:01-DQB1*02:01  Iran Azeri 5.5000100
 237  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Oristano 5.500091
 238  DRB1*07:01:01-DQB1*02:02  India Mumbai Maratha 5.420091
 239  A*33:03-B*44:03-C*07:06-DRB1*07:01-DQB1*02:02  India East UCBB 5.40472,403
 240  DRB1*03:01-DQA1*05:01-DQB1*02:01  Iran Yazd Zoroastrian 5.400065
 241  DRB1*03-DQA1*05:01-DQB1*02:01  Ukraine Khmelnytskyi 5.4000138
 242  A*02:01-B*50:01-DRB1*07:01-DQB1*02:01  Iran Yazd 5.357156
 243  A*29-B*44-DRB1*07:01-DQB1*02  Spain Arratia Valley Basque 5.300083
 244  DRB1*03:01-DQB1*02:01  USA Asian pop 2 5.25201,772
 245  A*32-B*41-DRB1*03:01-DQB1*02  Mexico Quintana Roo, Cancun 5.208348
 246  DQA1*05:01-DQB1*02  Russia Tuva pop 2 5.2000169
 247  DRB1*03-DQA1*05:01-DQB1*02:01  Russia Mari 5.2000202
 248  A*29-B*44-DRB1*07:01-DRB4*01:01-DQA1*02:01-DQB1*02:02  Spain Murcia 5.1000173
 249  DQA1*02:01-DQB1*02  Gambia 5.1000146
 250  DRB1*03:01-DRB3*01:01-DQB1*02:01  Macedonia pop 2 5.000080
 251  DRB1*03:01-DQB1*02:01  Italy pop 5 4.9800975
 252  A*01-B*08-DRB1*03:01-DQB1*02  Macedonia pop 3 4.9000172
 253  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Kayastha 4.9000190
 254  DRB1*07:01-DQA1*02:01-DQB1*02:01  Greece pop3 4.9000246
 255  DRB1*07:01-DQA1*02:01-DQB1*02:01  Gabon Haut-Ogooue Dienga 4.9000167
 256  DRB1*07:01-DQA1*02:01-DQB1*02:02  South Korea pop 1 4.9000324
 257  DRB1*03:01-DQB1*02:02  Cretan Islanders 4.8317124
 258  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Uttar Pradesh 4.8000202
 259  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Irkutsk Tofalar 4.700043
 260  A*23-B*44-C*04:01-DRB1*07:01-DQB1*02  Russia Transbaikal Territory Buryats 4.6670150
 261  A*24-B*35-DRB1*03:01-DQB1*02  Mexico Queretaro Rural 4.651243
 262  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Italy pop 5 4.6500975
 263  DRB1*03:01:01-DQB1*02:01:01  India Mumbai Maratha 4.650091
 264  A*33:03-B*58:01-C*03:02-DRB1*03:01-DRB3*02:02-DQB1*02:01  USA NMDP Chinese 4.600599,672
 265  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Lanusei 4.600087
 266  A*01:01-B*08:01-C*07:01-DRB1*03:01-DRB3*01:01-DQB1*02:01  USA NMDP North American Amerindian 4.576235,791
 267  A*02-B*08-DRB1*03:01-DQB1*02  Mexico Guanajuato, Guanajuato city 4.545522
 268  A*24-B*35-DRB1*03:01-DQB1*02  Mexico Colima Rural 4.545543
 269  DRB1*03:01-DQA1*05:01-DQB1*02:01  India Northeast Mathur 4.5000155
 270  DRB1*03:01-DQA1*05:01-DQB1*02:01-DPB1*04:01  China Canton Han 4.5000264
 271  DRB1*03:01-DQB1*02:01  Malaysia 4.500074
 272  DRB1*07:01-DQA1*02:01-DQB1*02:01  Mexico Nuevo Leon Mestizo 4.500040
 273  DRB1*09:01:02-DQB1*02:01  Tunisia Jerba Berber 4.500055
 274  A*01-B*08-C*07-DRB1*03-DQB1*02-DPB1*04  Norway ethnic Norwegians 4.49004,510
 275  DRB1*07:01-DQB1*02:02  Italy pop 5 4.4900975
 276  A*29-B*44-DRB1*07-DQB1*02  Mexico Veracruz, Coatzacoalcos 4.464355
 277  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  Vietnam Kinh 4.4550101
 278  A*01-B*08-DRB1*03-DQA1*05-DQB1*02:01  Russia, South Ural, Chelyabinsk region, Nagaybaks 4.4300112
 279  A*30-B*18-DRB1*03:01-DQB1*02  Mexico Mexico City West 4.411833
 280  A*02-B*44-DRB1*07:01-DQB1*02  Cuba Mixed 4.400078
 281  DRB1*03:01-DQA1*05-DQB1*02:01  Israel Non Ashkenazi Jews 4.400080
 282  DRB1*07:01-DQA1*02:01-DQB1*02:01  Italy Sardinia Carbonia 4.400091
 283  DRB1*07:01-DQA1*02:01-DQB1*02:02  Cameroon Yaounde 4.400092
 284  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP American Indian South or Central America 4.34585,926
 285  A*24-B*08-DRB1*03:01-DQB1*02:01  Tunisia Ghannouch 4.300082
 286  A*29-B*39-DRB1*07:01-DQB1*02:02  Tunisia Ghannouch 4.300082
 287  DQA1*05:01-DQB1*02  Uganda Baganda 4.300047
 288  DQA1*05:01-DQB1*02  Ecuador African 4.300058
 289  A*02-B*44-DRB1*07-DQB1*02  Mexico Jalisco, Tonala 4.285735
 290  A*01:01:01:01-B*08:01:01-C*07:01:01-DRB1*03:01:01-DQB1*02:01  Russia Nizhny Novgorod, Russians 4.26801,510
 291  DRB1*07:01-DQA1*02:01-DQB1*02:01  India Northeast Mech 4.200063
 292  A*33:01-B*58:01-C*03:02-DRB1*03:01-DQB1*02:01  Malaysia Peninsular Chinese 4.1237194
 293  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  USA NMDP Alaska Native or Aleut 4.10001,376
 294  DRB1*03:01-DQA1*05:01-DQB1*02:01  Mexico Highlands Mestizos 4.1000160
 295  DRB1*03-DRB3*01-DQA1*05-DQB1*02-DPB1*01  USA San Francisco Caucasian 4.1000220
 296  DRB1*07:01-DQA1*02:01-DQB1*02:01/02:02  Russia Siberia Ulchi 4.100073
 297  A*29-B*44-DRB1*07-DQB1*02  Mexico Colima, Colima city 4.098461
 298  A*33:03:01-B*58:01:01-C*03:02:02-DRB1*03:01:01-DQB1*02:01:01  China Zhejiang Han 4.01521,734
 299  A*01:01-B*08:01-C*07:01-DRB1*03:01-DQB1*02:01  Poland 4.0000200
 300  A*01-B*08-DRB1*03:01-DQB1*02  Spain Arratia Valley Basque 4.000083

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 201 to 300 (from 12,273) records   Pages: 1 2 3 4 5 6 7 8 9 10 of 123  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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